TY - GEN
T1 - Adaptive neuro-fuzzy inference system design of inverted pendulum system on an inclined rail
AU - Jia, Xianran
AU - Dai, Yaping
AU - Memon, Zubair Ahmed
PY - 2010
Y1 - 2010
N2 - The basic aim of our work was to design appropriate controller to control the angle of the pendulum and the position of the cart in order to stabilize the conventional inverted pendulum system on an inclined rail. We improved the adaptive neuro-fuzzy inference system (ANFIS) on the basis of conventional fuzzy controller. A neuro-fuzzy hybrid approach was used to design the fuzzy rule base on a basis of building a Sugeno fuzzy model in order to swing a pendulum attached to a cart from an initial downwards position to an upright position and maintain that state. The adaptive neuro-fuzzy logic controller was designed in the Matlab-Simulink environment. By training and checking of effective data, the results proved that the adaptive neuro-fuzzy controller had good performance about stability in the realtime control of the inverted pendulum on an inclined rail.
AB - The basic aim of our work was to design appropriate controller to control the angle of the pendulum and the position of the cart in order to stabilize the conventional inverted pendulum system on an inclined rail. We improved the adaptive neuro-fuzzy inference system (ANFIS) on the basis of conventional fuzzy controller. A neuro-fuzzy hybrid approach was used to design the fuzzy rule base on a basis of building a Sugeno fuzzy model in order to swing a pendulum attached to a cart from an initial downwards position to an upright position and maintain that state. The adaptive neuro-fuzzy logic controller was designed in the Matlab-Simulink environment. By training and checking of effective data, the results proved that the adaptive neuro-fuzzy controller had good performance about stability in the realtime control of the inverted pendulum on an inclined rail.
KW - Adaptive neuro-fuzzy inference system (ANFIS)
KW - Inverted pendulum system on an inclined rail
UR - https://www.scopus.com/pages/publications/79952408213
U2 - 10.1109/GCIS.2010.67
DO - 10.1109/GCIS.2010.67
M3 - Conference contribution
AN - SCOPUS:79952408213
SN - 9780769543048
T3 - Proceedings - 2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010
SP - 137
EP - 141
BT - Proceedings - 2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010
T2 - 2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010
Y2 - 16 December 2010 through 17 December 2010
ER -